Results 141 to 150 of about 121,348 (314)
ABSTRACT Purpose To evaluate quantitative susceptibility mapping (QSM) beyond the brain through realistic simulations and to explore preliminary evidence that may be indicative of hypoxia in skull base chordomas (SBC). Methods Each step of the QSM pipeline was optimized within an in silico framework consisting of (i) phase unwrapping, (ii) background ...
P. Fenech +8 more
wiley +1 more source
RF‐Shielding of Laser‐Cut Venous Stents: Calculations, Simulations, and Experiments
ABSTRACT Purpose To develop an analytical model of the RF‐shielding of laser‐cut venous stents for different orientations and stent geometries. Methods Laser‐cut venous stents are modeled as a grid composed of circular and rectangular loops. As these loops are orthogonal they shield different components of the transmit RF field.
Lisa Regler +7 more
wiley +1 more source
The Laplacian Spread of a Tree
The Laplacian spread of a graph is defined to be the difference between the largest eigenvalue and the second smallest eigenvalue of the Laplacian matrix of the graph.
Yi-Zheng Fan +3 more
doaj
Multi-label feature selection based on dynamic graph Laplacian
In view of the problems that graph-based multi-label feature selection methods ignore the dynamic change of graph Laplacian matrix, as well as such methods employ logical-value labels to guide feature selection process and loses label information, a ...
Yonghao LI +3 more
doaj
Order unicyclic graphs according to spetral radius of unoriented Laplacian matrix
Yi-Zheng Fan, Wu Song
openalex +2 more sources
Semiclassical inequalities for Dirichlet and Neumann Laplacians on convex domains
Abstract We are interested in inequalities that bound the Riesz means of the eigenvalues of the Dirichlet and Neumann Laplacians in terms of their semiclassical counterpart. We show that the classical inequalities of Berezin–Li–Yau and Kröger, valid for Riesz exponents γ≥1$\gamma \ge 1$, extend to certain values γ<1$\gamma <1$, provided the underlying ...
Rupert L. Frank, Simon Larson
wiley +1 more source
A Generalization Error Bound of Physics‐Informed Neural Networks for Ecological Diffusion Models
ABSTRACT Ecological diffusion equations (EDEs) are partial differential equations (PDEs) that model spatiotemporal dynamics, often applied to wildlife diseases. Derived from ecological mechanisms, EDEs are useful for forecasting, inference, and decision‐making, such as guiding surveillance strategies for wildlife diseases.
Juan Francisco Mandujano Reyes +4 more
wiley +1 more source
Effective and efficient approximations of the generalized inverse of the\n graph Laplacian matrix with an application to current-flow betweenness\n centrality [PDF]
Enrico Bozzo, Massimo Franceschet
openalex +1 more source
ABSTRACT Modelling the evolution of Alzheimer's disease (AD) requires a thorough spatiotemporal study of longitudinal neuroimaging data. We propose in this paper a novel deep learning framework that uses a parallel combination of Recurrent Neural Networks (RNNs) and Vision Transformers (ViT) to extract temporal disease dynamics and spatial structural ...
Sahbi Bahroun, Gwanggil Jeon
wiley +1 more source
Sharp commutator estimates of all order for Coulomb and Riesz modulated energies
Abstract We prove functional inequalities in any dimension controlling the iterated derivatives along a transport of the Coulomb or super‐Coulomb Riesz modulated energy in terms of the modulated energy itself. This modulated energy was introduced by the second author and collaborators in the study of mean‐field limits and statistical mechanics of ...
Matthew Rosenzweig, Sylvia Serfaty
wiley +1 more source

